valid-basic_skill

Overview

This skill provides a minimal, fully valid example implementation to verify skill discovery and parsing. It is designed as a lightweight Python skill that demonstrates required fields and a simple interface for agents. Use it to validate integration, tooling, and basic skill loading without external dependencies.

How this skill works

The skill exposes a small set of required metadata and a basic handler function that agents can call. It returns predictable, structured responses and includes clear examples of input and output shapes so discovery systems can validate schema compliance. The implementation is intentionally minimal to isolate parsing and registration behavior.

When to use it

• Testing skill discovery pipelines and directory indexing.
• Verifying agent runtime can load and validate skill metadata.
• Checking schema parsing and required-field enforcement.
• As a template for building more complex skills.
• When you need a reproducible, dependency-free example for debugging.

Best practices

• Keep the skill focused and deterministic to simplify test assertions.
• Include explicit metadata (name, language, topics) to aid discovery tools.
• Use predictable input/output formats so automated tests can validate behavior.
• Keep side effects to a minimum or none to make tests repeatable.
• Document expected fields and types directly in the skill code or metadata.

Example use cases

• Run automated CI that verifies new skill registry entries are valid and loadable.
• Smoke-test agent skill-loading logic after changes to the runtime.
• Use as a starter template when creating new skills to ensure required fields are present.
• Demonstrate prompt and handler wiring for new contributors.
• Benchmark parsing performance with a minimal, controlled skill payload.